Title

Ridesharing-Inspired Trip Recommendations

Abstract

The objective of this paper is to determine how ridesharing can help lowering the travel cost of a user who already has a preplanned trip. This problem is formulated as the Ridesharing-Inspired Trip Recommendation Query (RSTR). In the first phase of the proposed method, the trip of the query initializer is matched with other users. In the second phase, a heuristic-based algorithm is employed to generate a new trip recommendation. Experimental results showed that the proposed solution is comparable to the optimal solution and performs much better in run-time efficiency and scalability.

Meeting Name

19th IEEE International Conference on Mobile Data Management, MDM 2018 (2018: Jun. 26-28, Aalborg, Denmark)

Department(s)

Computer Science

Sponsor(s)

United States. Department of Energy

Comments

This work is supported by DOE grant P200A120110.

Keywords and Phrases

Optimal solutions; POI recommendation; Ride-sharing; Run-time efficiency; Second phase; Travel costs; Trip planning, Information management

International Standard Book Number (ISBN)

978-153864133-0

International Standard Serial Number (ISSN)

1551-6245

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2018 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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